OCT-based elastography for large and small deformations.

We present two approaches to speckle tracking for optical coherence tomography (OCT)-based elastography, one appropriate for small speckle motions and the other for large, rapid speckle motions. Both approaches have certain advantages over traditional cross-correlation based motion algorithms. We apply our algorithms to quantifying the strain response of a mechanically inhomogeneous, bi-layered polyvinyl alcohol tissue phantom that is subjected to either small or large dynamic compressive forces while being imaged with a spectral domain OCT system. In both the small and large deformation scenarios, the algorithms performed well, clearly identifying the two mechanically disparate regions of the phantom. The stiffness ratio between the two regions was estimated to be the same for the two scenarios and both estimates agreed with the expected stiffness ratio based on earlier mechanical testing. No single numerical approach is appropriate for all cases and the experimental conditions dictate the proper choice of speckle shift algorithm for OCT-based elastography studies.

[1]  Ram Mohan Vasu,et al.  Design, fabrication, and characterization of a tissue-equivalent phantom for optical elastography. , 2005, Journal of biomedical optics.

[2]  Teresa C. Chen,et al.  In vivo dynamic human retinal blood flow imaging using ultra-high-speed spectral domain optical Doppler tomography , 2003 .

[3]  M. V. van Gemert,et al.  Noninvasive imaging of in vivo blood flow velocity using optical Doppler tomography. , 1997, Optics letters.

[4]  R. Sinkus,et al.  High-resolution tensor MR elastography for breast tumour detection. , 2000, Physics in medicine and biology.

[5]  Changhuei Yang,et al.  Sensitivity advantage of swept source and Fourier domain optical coherence tomography. , 2003, Optics express.

[6]  R Sinkus,et al.  MR elastography of the breast:preliminary clinical results. , 2002, RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin.

[7]  J Ophir,et al.  Analysis of an Adaptive Strain Estimation Technique in Elastography , 2002, Ultrasonic imaging.

[8]  Donald Duncan,et al.  Performance analysis of a maximum-likelihood speckle motion estimator. , 2002, Optics express.

[9]  J. Schmitt,et al.  OCT elastography: imaging microscopic deformation and strain of tissue. , 1998, Optics express.

[10]  S L Jacques,et al.  Acoustically modulated speckle imaging of biological tissues. , 1998, Optics letters.

[11]  N Iftimia,et al.  OCT-based arterial elastography: robust estimation exploiting tissue biomechanics. , 2004, Optics express.

[12]  Li Fang,et al.  Low-frequency surface wave propagation and the viscoelastic behavior of porcine skin , 2004, SPIE BiOS.

[13]  J. Fujimoto,et al.  High-speed phase- and group-delay scanning with a grating-based phase control delay line. , 1997, Optics letters.

[14]  E J Halpern,et al.  Imaging prostate cancer: current and future applications. , 2001, Oncology.

[15]  S J Kirkpatrick,et al.  Processing algorithms for tracking speckle shifts in optical elastography of biological tissues. , 2001, Journal of biomedical optics.

[16]  J. Rhymer.  Elastography in the detection of prostatic cancer. , 2003, Clinical radiology.

[17]  Brett E. Bouma,et al.  Tissue Elasticity Estimation with Optical Coherence Elastography: Toward Mechanical Characterization of In Vivo Soft Tissue , 2005, Annals of Biomedical Engineering.

[18]  Barry Cense,et al.  In vivo dynamic human retinal blood flow imaging using ultra-high-speed spectral domain optical coherence tomography. , 2003, Optics express.

[19]  T. Krouskop,et al.  Elastic Moduli of Breast and Prostate Tissues under Compression , 1998, Ultrasonic imaging.

[20]  S J Kirkpatrick,et al.  High resolution imaged laser speckle strain gauge for vascular applications. , 2000, Journal of biomedical optics.

[21]  J. Ophir,et al.  Elastography: A Quantitative Method for Imaging the Elasticity of Biological Tissues , 1991, Ultrasonic imaging.

[22]  J. Ophir,et al.  Elastography: Elasticity Imaging Using Ultrasound with Application to Muscle and Breast in Vivo , 1993, Ultrasonic imaging.

[23]  Ruikang K. Wang,et al.  A practical approach to eliminate autocorrelation artefacts for volume-rate spectral domain optical coherence tomography , 2006, Physics in medicine and biology.

[24]  S J Kirkpatrick,et al.  Micromechanical behavior of cortical bone as inferred from laser speckle data. , 1998, Journal of biomedical materials research.

[25]  S. Boppart,et al.  Optical coherence elastography of engineered and developing tissue. , 2006, Tissue engineering.

[26]  J. Fujimoto,et al.  Optical coherence tomographic elastography technique for measuring deformation and strain of atherosclerotic tissues , 2004, Heart.

[27]  Donald D Duncan,et al.  Acousto-optical characterization of the viscoelastic nature of a nuchal elastin tissue scaffold. , 2003, Tissue engineering.

[28]  L. Heuser,et al.  Freehand ultrasound elastography of breast lesions: clinical results. , 2001, Ultrasound in medicine & biology.

[29]  J. Bishop,et al.  Visualization and quantification of breast cancer biomechanical properties with magnetic resonance elastography. , 2000, Physics in medicine and biology.

[30]  B. Garra,et al.  Elastography of breast lesions: initial clinical results. , 1997, Radiology.

[31]  Brett E. Bouma,et al.  Mechanical Analysis of Atherosclerotic Plaques Based on Optical Coherence Tomography , 2004, Annals of Biomedical Engineering.

[32]  Ruikang K. Wang,et al.  Tissue Doppler optical coherence elastography for real time strain rate and strain mapping of soft tissue , 2006 .